Mayo Clinic

111.5k papers and 5.0M indexed citations i.

About

In recent decades, authors affiliated with Mayo Clinic have published 111.5k papers, which have received a total of 5.0M indexed citations. Scholars at this organization have produced 28.0k papers in Surgery, 17.7k papers in Pulmonary and Respiratory Medicine and 16.5k papers in Molecular Biology on the topics of Cardiac Valve Diseases and Treatments (2.3k papers), Cardiac Imaging and Diagnostics (2.1k papers) and Cardiovascular Function and Risk Factors (2.1k papers). Their work is cited by papers focused on Surgery (1.2M citations), Molecular Biology (922.8k citations) and Pulmonary and Respiratory Medicine (752.3k citations). Authors at Mayo Clinic collaborate with scholars in United States, Canada and United Kingdom and have published in prestigious journals including Nature, Science and Cell. Some of Mayo Clinic's most productive authors include Ronald C. Petersen, Michael Camilleri, B. Lawrence Riggs, Sundeep Khosla, Ayalew Tefferi, M. Hassan Murad, Gregory J. Gores, B.F. Morrey, William J. Sandborn and Edward V. Loftus.

In The Last Decade

Fields of papers published by authors at Mayo Clinic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Mayo Clinic at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Mayo Clinic at the time of their publication.

Countries citing scholars working at Mayo Clinic

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Mayo Clinic. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Mayo Clinic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayo Clinic more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025